Top 10 Python Coding Tips for Beginners.


Tired of reading lengthy Python tutorials? Perhaps you are. Then, you must go through the collection of top ten Python coding tips explained in this post. It’s the result of a through research and qualitative filtering.

Such quality tips and tricks not only help those who need them for quick interview preparation but solve problems of the ones working on live projects. The reason these tips are so resourceful because we keep them archiving as keynotes since we started learning Python.

It’s a habit that you should also develop as it helps in quick revision of the concepts learned. And the same keynotes you can refer at any point of time in future.

So in this post, we’re sharing a list of ten must know Python coding tips for quick reference. Some of these tips we choose from a webinar we recently attended. And some we took as notes from the top online resources like Stack Overflow and Wikipedia, which we visit quite often to seek Python help.

For your information, we’ve thoroughly verified each of the python codings tips before adding them to this post. And it’s just the first set of tips and tricks that we are sharing today. There will be more such posts for developers and QA engineers to help with tips.

In case you are a seasoned Python programmer, you may already know most of these. But you would still find few of them quite useful. If you are a QA guy and going to start python automation, then these tips will be extremely handy for your projects.

Next to update you that we’ve explained the python coding tips via examples with a brief explanation for clarity. While we tried our best to make them simpler and clear but some of them might still appear a little complicated. So you are welcome to use Google for more information on it.

The reason we bring this python tutorial is its popularity as a programming language that lets you work more quickly. Look around and you will find it running everywhere, from various configuration tools to XML parsing.

There are also different versions of Python available, but most users prefer to use Python 2.x and 3.x. All of our coding tips should work on either of these two versions.

For our readers who are planning for a Python interview, we suggest them to read our recently published posts on Python programming which are as follows.

#Advanced Python Programming – 30 Tips for All Python Users.

Python Coding Tips – Essential For Beginners And Experienced.

1. Running Python Scripts.

On most of the UNIX systems, you can run Python scripts from the command line in the following manner.

2. Running Python Programs From Python Interpreter.

The Python interactive interpreter is very easy to use. You can try your first steps in programming and use any Python command. You just type the command at the Python console, one by one, and the answer is immediate.

Python console can be started by issuing the command:

In this article, all the code starting at the  >>> symbol is meant to be given at the Python prompt. It is also important to remember that Python takes tabs very seriously – so if you are receiving any error that mentions tabs, correct the tab spacing.

3. Using Enumerate() Function.

The enumerate() function adds a counter to an iterable object. An iterable is an object that has a __iter__ method which returns an iterator. It can accept sequential indexes starting from zero. And raises an IndexErrorwhen the indexes are no longer valid.

A typical example of the enumerate() function is to loop over a list and keep track of the index. For this, we could use a count variable. But Python gives us a nicer syntax for this using the enumerate() function.

4. The Data Type SET.

The data type “set” is a kind of collection. It has been part of Python since version 2.4. A set contains an unordered collection of unique and immutable objects. It is one of the Python data types which is an implementation of the <sets> from the world of Mathematics. This fact explains, why the sets unlike lists or tuples can’t have multiple occurrences of the same element.

If you want to create a set, just use the built-in set() function with a sequence or another iterable object.

5. Dynamic Typing.

In Java, C++, and other statically typed languages, you have to specify the data type of the function return value as well as the kind of each function argument. On the other hand, Python is a dynamically typed language. In Python, you don’t explicitly provide the data types. Based on the value you’ve assigned, Python keeps track of the datatype internally. Another good definition of dynamic typing is as follows.

“Names are bound to objects at run-time with the help of assignment statements. And it is possible to attach a name to the objects of different types during the execution of the program.”

The following example demonstrates how a function can examine its arguments. And do different things depending on their types.

6. == And = Operators.

Python uses ‘==’ for comparison and ‘=’ for assignment. Python does not support inline assignment. So there’s no chance of accidentally assigning the value when you want to compare it.

7. Conditional Expressions.

Python allows for conditional expressions. Here is an intuitive way of writing conditional statements in Python. Please follow the below example.

8. Concatenating Strings.

You can use ‘+’ to concatenate strings in the following manner.

9. The __init__ Method.

The __init__ method is invoked soon after the object of a class is instantiated. The method is useful to perform any initialization you plan. The __init__ method is analogous to a constructor in C++, C# or Java.

The output of the above code would look like as given below.

10. Modules.

To keep your programs manageable as they grow, you may want to break them up into several files. Python allows you to put multiple function definitions into a file and use them as a module. You can import these modules into other scripts and programs. These files must have a .py extension.

Summary: Python Coding Tips – Essential For Beginners And Experienced.

We hope all of you would have enjoyed reading the python coding tips. We at always aspire to deliver the best stuff that we can serve to our readers. Your satisfaction is our top most priority.

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